VAST Data
Senior Solutions Engineer, AI Infrastructure
Remote - United States · Hybrid · Senior · Full-time · Posted Oct 30, 2026
- Experience
- 8 to 12+ years of technical experience, with significant hands-on infrastructure experience.
About the job
Designs and evaluates large-scale AI, HPC, analytics, and data infrastructure for customers, guiding engagements from technical discovery through production deployment.
What you'll do
- Lead customer discovery and design infrastructure architectures, reference architectures, and deployment guidance.
- Plan evaluations and help debug infrastructure issues across Linux, storage, networking, Kubernetes, schedulers, GPUs, and applications.
- Partner with product and engineering on customer requirements, field feedback, and roadmap opportunities.
What they ask for
- Production infrastructure experience building, operating, or architecting real systems.
- Strong understanding of Linux kernel implementation details, distributed systems, storage, networking, and production operations.
- Experience in at least one area such as GPU infrastructure, HPC, Kubernetes platforms, MLOps, storage, cloud, data platforms, or enterprise infrastructure.
- Strong technical communication, discovery, problem-solving, and systems debugging skills.
Nice to have
- Experience with large-scale GPU clusters, distributed training, inference infrastructure, or AI platforms.
- Experience with petabyte-scale storage or high-performance data systems.
Tools
Linux, PAXOS, raft, NAND, Kubernetes, Slurm, Ray, Spark
AI focus
Supports customer infrastructure for large-scale AI workloads, including GPU clusters, distributed training, inference platforms, and AI infrastructure evaluations and deployments.
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